IDEAS home Printed from https://ideas.repec.org/a/mth/ber888/v7y2017i1p177-188.html
   My bibliography  Save this article

Evaluating the Effectiveness of Asset Pricing Model before, during and after Financial Crisis 2008: Evidence from Karachi Stock Exchange

Author

Listed:
  • Waqar-ul-Hassan
  • Zeeshan Hasnain
  • Shahbaz Hussain

Abstract

The Study aims to explore the strength of arbitrage pricing model (APT) for determining stock returns of Karachi stock exchange (KSE) across three distinct and structured periods; before financial crisis period (2006-07), during financial crisis period (2008) and after financial crisis period (2009-10). The Study adopted descriptive statistics, Pearson correlation, linear regression, Random effect model for interpretation and execution of data. 253 financial and non-financial listed companies on KSE for the period of (2006-10) are considered as sample firms. Results of regression analysis indicated that models selected for the present study showed poor performance for measuring KSE returns. Independent variables showed significant behavior for measuring KSE returns in pre-financial crisis period; no statistical relationship for measuring KSE returns in during financial crisis period; insignificant nature for measuring KSE returns the post-financial crisis period. The Study has provided understandings about arbitrage theory applicability and financial crisis - 2008 impacts on KSE.

Suggested Citation

  • Waqar-ul-Hassan & Zeeshan Hasnain & Shahbaz Hussain, 2017. "Evaluating the Effectiveness of Asset Pricing Model before, during and after Financial Crisis 2008: Evidence from Karachi Stock Exchange," Business and Economic Research, Macrothink Institute, vol. 7(1), pages 177-188, June.
    • Handle: RePEc:mth:ber888:v:7:y:2017:i:1:p:177-188
    as

    Download full text from publisher

    File URL: http://www.macrothink.org/journal/index.php/ber/article/view/11106/8917
    Download Restriction: no
    File URL: http://www.macrothink.org/journal/index.php/ber/article/view/11106
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    2. Rafaqet Ali & Muhammad Afzal, 2012. "Impact of global financial crisis on stock markets: Evidence from Pakistan and India," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(7), pages 275-282.
    3. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    4. Isma Zaighum, 2014. "Impact of Macroeconomic Factors on Non-financial firms Stock Returns: Evidence from Sectorial Study of KSE-100 Index," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 1(1), pages 35-48, March.
    5. Sirucek, Martin, 2012. "Macroeconomic variables and stock market: US review," MPRA Paper 39094, University Library of Munich, Germany.
    6. Gertler, Mark & Grinols, Earl L, 1982. "Unemployment, Inflation, and Common Stock Returns," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(2), pages 216-233, May.
    7. Muhammad Shaukat Malik & Mustabsar Awais & Waqar-ul-hassan & Faisal Hayat & Shahbaz Hussain & Aisha Khursheed, 2016. "Dual Perspective of Inflation toward Market Development," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(3), pages 225-231, March.
    8. Mohammed Nishat & Rozina Shaheen, 2004. "Macroeconomic Factors and Pakistani Equity Market," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 43(4), pages 619-637.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ditimi Amassoma & O. Adeleke, 2018. "Testing for the Causality between Interest Rate and Stock Market Performance in Nigeria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 109-124.
    2. Sanya Ogunsakin & Isaac Tope Awe, 2020. "Macroeconomic Determinants of Stock Market Performance in Nigeria," Business and Economic Research, Macrothink Institute, vol. 10(4), pages 139-158, December.
    3. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Shaikh, Salman, 2013. "Investment Decisions by Analysts: A Case Study of KSE," MPRA Paper 53802, University Library of Munich, Germany.
    5. Boes, M.J., 2006. "Index options : Pricing, implied densities and returns," Other publications TiSEM e9ed8a9f-2472-430a-b666-9, Tilburg University, School of Economics and Management.
    6. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    7. repec:dau:papers:123456789/2514 is not listed on IDEAS
    8. David Morelli, 2002. "The robustness of tests of structural change in equity returns using factor analysis," Applied Economics, Taylor & Francis Journals, vol. 34(2), pages 241-251.
    9. Mario Alejandro Acosta R., 2014. "Las acciones como activo de reserva para el Banco de la República," Documentos CEDE 11004, Universidad de los Andes, Facultad de Economía, CEDE.
    10. Ahmed, Shamim & Liu, Xiaoquan & Valente, Giorgio, 2016. "Can currency-based risk factors help forecast exchange rates?," International Journal of Forecasting, Elsevier, vol. 32(1), pages 75-97.
    11. Moon K. Kim & Chunchi Wu, 1987. "Macro-Economic Factors And Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(2), pages 87-98, June.
    12. Hammami Algia & Bouri Abdelfatteh, 2018. "The Conditional Relationship between Oil Price Risk and Return Stock Market: a Comparative Study of Advanced and Emerging Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1321-1347, December.
    13. Antti J. Tanskanen & Jani Lukkarinen & Kari Vatanen, 2016. "Random selection of factors preserves the correlation structure in a linear factor model to a high degree," Papers 1604.05896, arXiv.org, revised Dec 2018.
    14. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
    15. Algia Hammami & Ameni Ghenimi & Abdelfattah Bouri, 2015. "Relation Between Risk And Return In Tunisian’S Stock Market After The Revolution (During Political Instability)," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 6(1), December.
    16. Jian Guo & Saizhuo Wang & Lionel M. Ni & Heung-Yeung Shum, 2022. "Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence," Papers 2301.04020, arXiv.org.
    17. Raymond Kan & Guofu Zhou, 1999. "A Critique of the Stochastic Discount Factor Methodology," Journal of Finance, American Finance Association, vol. 54(4), pages 1221-1248, August.
    18. Lars Hornuf & Gül Yüksel, 2022. "The Performance of Socially Responsible Investments: A Meta-Analysis," CESifo Working Paper Series 9724, CESifo.
    19. Zhou, Guofu, 1999. "Security factors as linear combinations of economic variables," Journal of Financial Markets, Elsevier, vol. 2(4), pages 403-432, November.
    20. Pat Wilson & John Okunev & Guy Ta, 1994. "Are Real Estate and Securities Markets Integrated? Some Australian Evidence," Working Paper Series 42, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    21. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.

    More about this item

    Keywords

    Arbitrage pricing theory; Stock market; Financial crisis - 2008; Economic conditions and Panel analysis techniques;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mth:ber888:v:7:y:2017:i:1:p:177-188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/ber .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.